Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 187 · 40 questions

AI tip (Accuracy = correct ÷ total × 100): Steps: 1 choose a problem → 2 collect examples → 3 label them → 4 check and correct bad labels (clean the data) → 5 split into training and test sets → 6 train → 7 test with new examples → 8 measure accuracy → 9 improve the data and retest. Accuracy = correct ÷ total × 100. Wrong = total − correct. Expected right = accuracy ÷ 100 × total. Keep some examples apart for testing (for example one fifth); the rest are for training.

1. 1.📋 Planning an AI project: which comes first — test on new photos or split train and test? (a) test on new photos (b) split train and test
2. 2.🧪 What is accuracy? (a) total − correct (b) correct + total (c) total × 2 (d) correct ÷ total × 100
3. 3.❌ Arjun’s handwriting reader was tested on 20 new handwritten letters and got 11 right. How many did it get wrong?
4. 4.📦 Vihaan collected 200 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
5. 5.📋 Planning an AI project: which comes first — split train and test or choose what to sort? (a) split train and test (b) choose what to sort
6. 6.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 10 right and Model B got 7 right. How many percentage points more accurate is Model A?
7. 7.❌ Aarav’s recycling sorter was tested on 35 new waste photos and got 29 right. How many did it get wrong?
8. 8.📦 Rohan collected 100 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
9. 9.📦 Saanvi collected 190 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
10. 10.❌ Nisha’s recycling sorter was tested on 33 new waste photos and got 32 right. How many did it get wrong?
11. 11.❌ Saanvi’s spam spotter was tested on 35 new messages and got 30 right. How many did it get wrong?
12. 12.📋 Planning an AI project: which comes first — let it learn patterns or label each example? (a) let it learn patterns (b) label each example
13. 13.🎯 Ishaan’s spam spotter was tested on 5 new messages and got 4 right. What is its accuracy in percent?
14. 14.📋 Planning an AI project: which comes first — try unseen examples or tag each photo by type? (a) try unseen examples (b) tag each photo by type
15. 15.🧪 You can plan a simple AI project with… (a) a secret password (b) nothing at all (c) paper and examples (d) only a big robot
16. 16.🎯 Rohan’s leaf identifier is 60% accurate. If it is tested on 50 new leaf photos, how many should it get right?
17. 17.📋 Planning an AI project: which comes first — correct bad labels or work out the accuracy? (a) correct bad labels (b) work out the accuracy
18. 18.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 50 right and Model B got 48 right. How many percentage points more accurate is Model A?
19. 19.🎯 Arjun’s leaf identifier is 60% accurate. If it is tested on 10 new leaf photos, how many should it get right?
20. 20.📋 Planning an AI project: which comes first — tag each photo by type or pick a question to solve? (a) tag each photo by type (b) pick a question to solve
21. 21.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 46 right and Model B got 37 right. How many percentage points more accurate is Model A?
22. 22.🎯 Rohan’s leaf identifier is 50% accurate. If it is tested on 90 new leaf photos, how many should it get right?
23. 23.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to save paper (c) to see if it learned (d) to make it faster
24. 24.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) fewer examples (c) more labelled examples (d) a new colour screen
25. 25.🎯 Aarav’s spam spotter was tested on 25 new messages and got 20 right. What is its accuracy in percent?
26. 26.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
27. 27.📦 Aarav collected 180 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
28. 28.🎯 Arjun’s fruit sorter is 70% accurate. If it is tested on 90 new fruit photos, how many should it get right?
29. 29.🎯 Rohan’s spam spotter is 50% accurate. If it is tested on 100 new messages, how many should it get right?
30. 30.📋 Planning an AI project: which comes first — fix it and test again or calculate percent right? (a) fix it and test again (b) calculate percent right
31. 31.📋 Planning an AI project: which comes first — tag each photo by type or test on new photos? (a) tag each photo by type (b) test on new photos
32. 32.🎯 Kabir’s leaf identifier was tested on 50 new leaf photos and got 43 right. What is its accuracy in percent?
33. 33.📦 Ishaan collected 120 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
34. 34.📋 Planning an AI project: which comes first — set aside test photos or train the model? (a) set aside test photos (b) train the model
35. 35.📋 Planning an AI project: which comes first — improve data, retest or recheck every label? (a) improve data, retest (b) recheck every label
36. 36.🎯 Ananya’s bird-song app was tested on 25 new bird songs and got 14 right. What is its accuracy in percent?
37. 37.🎯 Diya’s bird-song app is 90% accurate. If it is tested on 40 new bird songs, how many should it get right?
38. 38.🎯 Tara’s leaf identifier is 50% accurate. If it is tested on 50 new leaf photos, how many should it get right?
39. 39.🎯 Meera’s handwriting reader was tested on 25 new handwritten letters and got 20 right. What is its accuracy in percent?
40. 40.🎯 Rohan’s leaf identifier is 80% accurate. If it is tested on 70 new leaf photos, how many should it get right?

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